Agentic RAG from Scratch
Hosted by Raul Salles de Padua and Can Temizyurek
Tue, May 19, 2026
11:00 PM UTC (30 minutes)
Virtual (Zoom)
Free to join
Go deeper with a course
LLM Ops - Large Language Models in Production
Dr. Greg Loughnane and Chris "The LLM Wizard 🪄" Alexiuk
Founder & CEO @ AI Makerspace. Co-Founder & CTO @ AI Makerspace
Tue, May 19, 2026
11:00 PM UTC (30 minutes)
Virtual (Zoom)
Free to join
58 students
Go deeper with a course
LLM Ops - Large Language Models in Production
Dr. Greg Loughnane and Chris "The LLM Wizard 🪄" Alexiuk
Founder & CEO @ AI Makerspace. Co-Founder & CTO @ AI Makerspace
What you'll learn
Introduction to agents
Meet agents through the lens of agentic RAG, based on what we learned in our Dense Vector Retrieval session!
Learn the core constructs of low-level orchestration
Build durable, production-grade agents from scratch with LangGraph
Understand monitoring and tracing for agents
Set up tracing to observe the performance of your agents with the LangSmith platform
Why this topic matters
To understand Agents, it helps to approach them through the lens of in-context learning and building on the foundations of RAG.
To build with agents, there are no better orchestration and monitoring tools today than LangGraph and LangSmith.
In just 30 minutes, get a handle on the essential concepts and code you need to build, ship, and share agentic RAG applications.
You'll learn from
Raul Salles de Padua
Principal AI & ML Engineer @ Rumble
Lead instructor for AI Makerspace's The AI Engineering Certification v1.0. Cohort starts June 2nd!
Can Temizyurek
Maintainer, Evalite (>200k downloads/wk)
Code instructor for AI Makerspace's The AI Engineering Certification v1.0. Cohort starts June 2nd!